Finger Nail Plate Classification for Transient Biometric Identification

Authors(1) :-Renu Bala

Transient biometrics using finger nail plate is a new for biometric identification and verification. According to traditional research biometric system concentrates on biometric characteristics which are constant i.e. for a long time or permanent. Transient means “short time” (not permanent). Texture features extracted with the help of LBP (Local Binary Pattern) and scale invariant feature transform(SIFT) from finger nail plate and after all the features classified with the help of the neural network. Previous work is done using fusion work of LBP, Adaboost, brisk and PCA. Proposed methodology uses finger nail plate image data set from the website TBND group. The work is carried out using finger nail images in Matlab environment.

Authors and Affiliations

Renu Bala
Assist. Professor, Department of CSA, Guru Nanak Khalsa College Goraya, Punjab, India

Texture feature extraction, neural network, LBP, matching, preprocessing, SIFT

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 854-858
Manuscript Number : CSEIT1724204
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Renu Bala, "Finger Nail Plate Classification for Transient Biometric Identification", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.854-858, July-August-2017.
Journal URL : http://ijsrcseit.com/CSEIT1724204

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